Mirage Metrics builds and operates AI agents that automate the coordination layer of complex industrial operations, including logistics, construction, mining, and manufacturing. The company's forward-deployed engineering model embeds teams directly in client environments to deploy agents that read documents, extract structured data, and trigger workflows across existing ERP, TMS, and WMS systems. Deployments typically reach production in under four weeks, with agents processing over 5 million documents across 35+ active deployments.
- Artificial Intelligence
- AI Agents
- Construction Technology
- Enterprise Software
- Industrial Automation
- Logistics & Supply Chain
- Manufacturing / Industry 4.0
- Software Only
Funding
Founders
Product
Problem
Complex industrial operations generate massive volumes of documents, forms, reports, and records that are still processed manually. Operators transcribe purchase orders into ERP systems, logistics teams copy container numbers from PDFs, and site managers extract figures from inspection reports by hand, consuming teams with repetitive coordination work that should not require human attention.
Solution
Mirage Metrics provides AI agents that automate the coordination layer of complex operations across logistics, construction, mining, manufacturing, and other operations-heavy environments. The agents read operational documents, extract structured data, trigger downstream workflows, and integrate directly with existing systems including ERP platforms, logistics tools, planning software, field databases, and communication layers. The company operates on a deployment-first model, with engineers working on-site inside client environments to understand workflows and field constraints before building production-grade systems. Deployments run inside existing workflows with no migration or parallel software stack, and the company operates and iterates on systems until results are measurable.
Target Audience
Primary customers are companies in logistics and freight forwarding, construction, mining, manufacturing, infrastructure services, and industrial maintenance that handle high volumes of documents and complex multi-system workflows. The company also serves organizations running high-volume operational coordination regardless of sector.
Features
- AI agents that read operational documents, extract structured data, and trigger downstream workflows across multi-language, multi-format document environments
- Direct integration with SAP, Oracle, Microsoft Dynamics, and any ERP, TMS, or WMS through standard APIs and file-based connections, with custom connectors built when no API exists
- Deployment model that reaches production in under four weeks, with engineers working on-site to understand operational workflows before building
- Platform (Mirage OS) that connects existing systems, models operational context, executes multi-step workflows, and provides review queues and control rooms
- Security and governance features including role-based access, human approval flows, configurable autonomy, and full audit history with every agent action traceable
- Capabilities spanning ERP order entry automation, customs and freight document processing, construction site reporting, maintenance and inspection data extraction, and operational email routing